Verbal command video editing

ABSTRACT

An embodiment of the invention may include a method, computer program product and computer system for video editing. The method, computer program product and computer system may include computing device which may receive video data from an imaging device, the video data may include visual and audio data. The computing device may convert the audio data to text and parse the text into textual segments. The computing device may annotate the textual segments with time stamps and analyze the annotated textual segments to identify pre-determined edit commands. The computing device may generate an edit script based on the identified pre-determined edit commands in the textual segments.

BACKGROUND

The present invention relates generally to a method, system, andcomputer program for video editing. More particularly, the presentinvention relates to a method, system, and computer program forautomatic verbal command-based video annotating and editing.

Video editing is the post-production process of editing segments ofvideo footage, special effects, and sound recordings. Video editing usedto be relegated to expensive machines, but today video editing softwareis widely available for use on personal computers and workstations. Theneed for video editing software has grown exponentially over the lastdecade as more and more social media video platforms have become widelyavailable. The exponential growth and availability in social media videoplatforms have resulted in a corresponding growth in content creatorswho are generating video content, editing that video content anduploading the video content to the social media video platforms andelsewhere.

BRIEF SUMMARY

An embodiment of the invention may include a method, computer programproduct and computer system for video editing. The method, computerprogram product and computer system may include computing device whichmay receive video data from an imaging device, the video data mayinclude visual and audio data. The computing device may convert theaudio data to text and parse the text into textual segments. Thecomputing device may annotate the textual segments with time stamps andanalyze the annotated textual segments to identify pre-determined editcommands. The computing device may generate an edit script based on theidentified pre-determined edit commands in the textual segments. Thecomputing device may analyze the edited video file to identify dead timecreated by the editing of the video data and edit the identified deadtime out of the edited video file. The computing device may generate anedited video file by editing the video file based on the generated editscript.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1a illustrates a system for video editing, in accordance with anembodiment of the invention.

FIG. 1b illustrates example operating modules of the video editingprogram of FIG. 1 a.

FIG. 2 is a flowchart illustrating an example method of video editing inaccordance with an embodiment of the invention.

FIG. 3 is a block diagram depicting the hardware components of the videoediting system of FIG. 1, in accordance with an embodiment of theinvention.

FIG. 4 illustrates a cloud computing environment, in accordance with anembodiment of the invention.

FIG. 5 illustrates a set of functional abstraction layers provided bythe cloud computing environment of FIG. 4, in accordance with anembodiment of the invention.

DETAILED DESCRIPTION

Embodiments of the present invention will now be described in detailwith reference to the accompanying Figures.

The following description with reference to the accompanying drawings isprovided to assist in a comprehensive understanding of exemplaryembodiments of the invention as defined by the claims and theirequivalents. It includes various specific details to assist in thatunderstanding but these are to be regarded as merely exemplary.Accordingly, those of ordinary skill in the art will recognize thatvarious changes and modifications of the embodiments described hereincan be made without departing from the scope and spirit of theinvention. In addition, descriptions of well-known functions andconstructions may be omitted for clarity and conciseness.

The terms and words used in the following description and claims are notlimited to the bibliographical meanings, but, are merely used to enablea clear and consistent understanding of the invention. Accordingly, itshould be apparent to those skilled in the art that the followingdescription of exemplary embodiments of the present invention isprovided for illustration purpose only and not for the purpose oflimiting the invention as defined by the appended claims and theirequivalents.

It is to be understood that the singular forms “a,” “an,” and “the”include plural referents unless the context clearly dictates otherwise.Thus, for example, reference to “a component surface” includes referenceto one or more of such surfaces unless the context clearly dictatesotherwise.

Embodiments of the present invention provide a method, computer program,and computer system for video editing. More particularly, the presentinvention relates to a method, system, and computer program forautomatic verbal command-based video annotating and editing Currenttechnology does not allow for automatic editing of video data based onverbal commands contained within the video data. Currently, there areexisting systems for the verbal control of the actual filming process ofvideo content. However, there are no such verbal control/command systemsfor the post-production video editing. Video editing is often the mosttime-consuming process of generating video content. Accordingly, a needexists for an easy video editing system and methodology. Embodiments ofthe present invention provide a system and methodology which allowscontent creators to provide verbal commands during the filming of avideo which are then identified by the inventive system to automaticallyedit the video upon filming completion. Thus, embodiments of the currentinvention reduce the time spent by content creators on the video editingprocess.

Reference will now be made in detail to the embodiments of the presentinvention, examples of which are illustrated in the accompanyingdrawings, wherein like reference numerals refer to like elementsthroughout. Embodiments of the invention are generally directed to asystem for automatic verbal command-based video annotating and editing.

FIG. 1 illustrates a video editing system 100, in accordance with anembodiment of the invention. In an example embodiment, video editingsystem 100 includes an imaging device 110, and a server 120,interconnected via network 130.

In the example embodiment, the network 130 is the Internet, representinga worldwide collection of networks and gateways to supportcommunications between devices connected to the Internet. The network130 may include, for example, wired, wireless or fiber opticconnections. In other embodiments, the network 130 may be implemented asan intranet, a local area network (LAN), or a wide area network (WAN).In general, the network 130 can be any combination of connections andprotocols that will support communications between the imaging device110, and server 120.

The imaging device 110 may include the device database 112. The imagingdevice 110 may be any device capable of capturing the video data 114.For example, the imaging device 110 may be a camera, a computer, atablet, a thin client, a cellphone, or any other device capable ofcapturing, storing, and/or compiling the video data 114. Further, theimaging device 110 may send the video data 114 to and from othercomputing devices, such as the server 120 via the network 130. The videodata 114 may include, but is not limited to, visual, and/or audio data.For example, the imaging device 110 may be a video camera used to shoota movie and capture the visual and audio data of the movie. Thus, thevideo data 114 may include natural language audio data. While only asingle imaging device 110 is illustrated, it can be appreciated that anynumber of imaging devices may be a part of the video editing system 100.For example, a movie or television show may be shot using multiple videocameras. In embodiments of the invention, the imaging device 110 and theserver 120 may be the same device. For example, the imaging device 110,e.g. a camera, may have the server 120 incorporated into the imagingdevice 110 or the imaging device 110 may be resident in the server 120.The imaging device 110 is described in more detail above and withreference to FIG. 3.

The device database 112 may store the video data 114, i.e. the visual,and/or audio data, captured by the imaging device 110. The imagedatabase 112 may be any storage media capable of storing data, such as,but not limited to, storage media resident in the imaging device 110and/or removeable storage media. For example, the image database 112 maybe, but is not limited to, a hard drive, a solid stated drive, a USBdrive, or a memory card, etc. The image database 112 is described inmore detail above and with reference to FIG. 3.

The server 120 may include the program database 122 and the videoediting program 126. In an example embodiment, the server 120 may be adesktop computer, a notebook, a laptop computer, a tablet computer, athin client, or any other electronic device or computing system capableof storing compiling and organizing audio, visual, or textual content,e.g. the video data 114, and receiving and sending that content to andfrom other computing devices, such as the imaging device 110. While onlya single server 120 is depicted, it can be appreciated that any numberof servers may be part of the video editing system 100. In someembodiments, the server 120 includes a collection of devices, or datasources, in order to collect the program data 124. The server 120 isdescribed in more detail with reference to FIG. 3.

The program database 122 may store the program data 124. The programdatabase 122 may be any storage media capable of storing data capable ofstoring data, such as, but not limited to, storage media resident in theserver 120 and/or removeable storage media. For example, the programdatabase 122 may be, but is not limited to, a hard drive, a solid stateddrive, a USB drive, or a memory card, etc. The program database 122 isdescribed in more detail with reference to FIG. 3.

The program data 124 may be a collection of audiovisual data including,but not limited to, audio, visual, and textual data. The program data124 may include, for example, the video data 114 received and/orcollected from the imaging device 110. The program data 124 may alsoinclude a list of pre-determined edit commands. The pre-determined editcommands designate actions to be taken by the video editing program 126,which is described in more detail below with reference to FIG. 1b .Further, the program data 124 may include user data associated withusers of the video editing system 100 such as, but not limited to, auser's identification, a user's program preferences, and a list of theimaging devices 110 associated with a user, etc. The program data 124 islocated on the server 120 and can be accessed via the network 130. Inaccordance with an embodiment of the invention, the program data 124 maybe located on one or a plurality of servers 120.

The video editing program 126 may include the user interface 128. Thevideo editing program 126 is a program capable of receiving the videodata 114, analyzing the video data 114 for verbal video edit commandscontained within the audio data of the video data 114, and editing thevideo data 114 in accordance with any identified verbal video editcommands. The video editing program 126 may receive the video data 114directly from the imaging device 110. In another embodiment, the videoediting program 126 may receive the video data 114 from the server 120,the video data 114 being received and/or collected by the server 120 andstored as the program data 124 in the program database 122. The videoediting program 126 is described in more detail below with reference toFIG. 1 b.

The user interface 128 includes components used to receive input from auser on the server 120 and transmit the input to the video editingprogram 126 residing on server 120, or conversely to receive informationfrom the video editing program 126 and display the information to theuser on the server 120. In an example embodiment, the user interface 128uses a combination of technologies and devices, such as device drivers,to provide a platform to enable users of the server 120 to interact withthe video editing program 126. In the example embodiment, the userinterface 128 receives input, such as but not limited to, textual,visual, or audio input received from a physical input device, such asbut not limited to, a keypad and/or a microphone.

FIG. 1b illustrates example modules of the video editing program 126. Inan example embodiment, the video editing program 136 may include fourmodules: data collection module 140, audio processing module 142, editscript generation module 144, and video editing module 146.

The data collection module 140 receives the video data 114 from theimaging device 110. In an example embodiment, the data collection module140 may receive the video data 114 directly from the imaging device 110.Alternatively, the data collection module 140 may receive the video data114 stored as program data 124 from the program database 122.

The audio processing module 142 converts the audio portion of the videodata 114 to text. The audio processing module 142 may use anyspeech-to-text service to convert the audio portion of the video data114 to text. The audio processing module 142 parses the converted textinto textual segments and annotates the textual segments with timestamps. The time stamps correlate to the times in the video data 114when the textual segments, e.g. the audio portion of the video data 114,occur. For example, the video data 114 may be a video which will beuploaded to a media channel and the audio portion of the video data 114may be converted and annotated as follows:

Time Stamp Text Segment 00:00 - EditTron9000 start on camera one.00:05 - Hi, my name is SpicyEddie99 and today we're going to eat 20atomic wings. 00:15 - EditTron9000 wipe transition to my intro. 00:20 -What's up everyone? 00:22 - Let's take a look at what we're eatingtoday. 00:27 - EditTron9000 transition to camera two. 00:32 - ATOMICWINGS!! 00:34 - Let's get to stuffing our faces. 00:39 - EditTron9000transition to camera one. 00:43 - Oh no I dropped the wings. 01:31 -Ugh, this is gross. 02:45 - Disgusting 04:32 - EditTron9000 removeeverything since the previous edit. 04:42 - EditTron9000 start timelapseand add yakkity sax. 14:31 - EditTron9000 stop timelapse and music.14:36 - Thanks for joining me everyone. 14:42 - See you next time.14:45 - EditTron9000 fade out and play my outro.

The edit script generation module 144 analyzes the annotated textualsegments to identify pre-determined edit commands. The pre-determinededit commands may be, for example, but not limited to, word(s) and/orphrase(s) spoken by a user to denote an edit to be made to the videodata 114. In the above annotated textual segments, the pre-determinededit command is “EditTron9000.” Thus, the edit script generation module144 would identify all textual segments that begin with “EditTron9000.”In another embodiment, the pre-determined edit commands may be phrasessuch as “Start Rolling Camera 1,” “Play Intro,” “Transition to Camera2,” “Remove Video Since Previous Edit,” “Fade out,” “Play Outro,” and“Cut.” The edit script generation module 144 generates an edit scriptbased on the identified textual segments with the pre-determined editcommands. In one embodiment, the edit script generation module 144 mayidentify the pre-determined edit commands and generate the edit scriptusing a Levenshtein-distance metric. The Levenshtein-distance metricconverts the textual segments into intents and compares the utterancesto reference intents, i.e. pre-determined edit commands, to determinewhich intent it most closely resembles. In another embodiment, the editscript generation module 144 may identify the pre-determined editcommands and generate the edit script by converting the textual segmentsinto intents by defining intents, i.e. pre-determined edit commands, asregular expressions, which may include numerical values and specificfunction targets. For example, the pre-determined edit commands, i.e.intents, may be a word such as, but not limited to, “EditTron9000”coupled with regular expressions such as, but not limited to “start atime lapse for x-time and then add outro music file.” Thus, the regularexpressions may contain commands for the video editing program 126 to dospecified action for a specified time period or to add/delete somethingduring a specified time period, etc. In another embodiment, the editscript generation module 144 may identify the pre-determined editcommands and generate the edit script by using a comprehensivevalue-sensitive intent-based application programming interface (API)such as, but not limited to, IBM® Watson Assistant. Continuing with theexample textual segments above, the edit script generation module 144may generate an edit script as follows:

-   -   remove 00:00, 00:04    -   wipeTransition 00:15, intro    -   remove 00:15, 00:19    -   setActiveCamera 00:27, 2    -   setActiveCamera 00:39, 1    -   remove 00:39, 04:32    -   remove 04:32, 04:42    -   timeLapse 04:42, 14:31    -   addMusic 04:42, 14:31, “yakkitysax.mp3”    -   remove 04:42, 04:45    -   remove 14:31, 14:36    -   fadeOut 14:45    -   addMusic 14:45 “outro.mp3”.

The video editing module 146 edits the video data 114 based on thegenerated edit script and generates an edited video file. For example,but not limited to, the video editing module 146 may remove portions ofthe video data 114, add specified data to the video data 114, and splicemultiple camera feeds together, etc. Further, the video editing module146 may analyze the edited video file to identify “dead time”, i.e.periods of no audio after the pre-determined edit commands, created bythe editing of the video data, and edit out the identified dead time.

Referring to FIG. 2, a method 200 for video editing is depicted, inaccordance with an embodiment of the present invention.

Referring to block 210, the data collection module 140 receives thevideo data 114 from the imaging device 110. Data collection is describedin more detail above with reference to the data collection module 140.

Referring to block 212, the audio processing module 142 converts theaudio portion of the video data 114 to text. Audio-to-text conversion isdescribed in more detail above with reference to the audio processingmodule 142.

Referring to block 214, the audio processing module 142 parses theconverted text into textual segments. Text parsing is described in moredetail above with reference to the audio processing module 142.

Referring to block 216, the audio processing module 142 annotates thetextual segments with time stamps. Textual segment annotation isdescribed in more detail above with reference to the audio processingmodule 142.

Referring to block 218, the edit script generation module 144 analyzesthe annotated textual segments to identify pre-determined edit commands.Pre-determined edit command identification is described in more detailabove with reference to the edit script generation module 144.

Referring to block 220, the edit script generation module 144 generatesan edit script based on the identified textual segments with thepre-determined edit commands. Edit script generation is described inmore detail above with reference to the edit script generation module144.

Referring to block 222, the video editing module 146 edits the videodata 114 based on the generated edit script. Video editing is describedin more detail above with reference to the video editing module 146.

Referring to block 224, the video editing module 146 generates an editedvideo file. Edited video file generation is described in more detailabove with reference to the video editing module 146.

Referring to block 226, the video editing module 146 analyzes the editedvideo file to identify dead time created by the editing of the videodata. Dead time analysis is described in more detail above withreference to the video editing module 146.

Referring to block 228, the video editing module 146 edits out theidentified dead time. Dead time editing is described in more detailabove with reference to the video editing module 146.

Referring to FIG. 3, a system 1000 includes a computer system orcomputer 1010 shown in the form of a generic computing device. Themethod 200 for example, may be embodied in a program(s) 1060 (FIG. 3)embodied on a computer readable storage device, for example, generallyreferred to as memory 1030 and more specifically, computer readablestorage medium 1050 as shown in FIG. 3. For example, memory 1030 caninclude storage media 1034 such as RAM (Random Access Memory) or ROM(Read Only Memory), and cache memory 1038. The program 1060 isexecutable by the processing unit or processor 1020 of the computersystem 1010 (to execute program steps, code, or program code).Additional data storage may also be embodied as a database 1110 whichcan include data 1114. The computer system 1010 and the program 1060shown in FIG. 3 are generic representations of a computer and programthat may be local to a user, or provided as a remote service (forexample, as a cloud based service), and may be provided in furtherexamples, using a website accessible using the communications network1200 (e.g., interacting with a network, the Internet, or cloudservices). It is understood that the computer system 1010 alsogenerically represents herein a computer device or a computer includedin a device, such as a laptop or desktop computer, etc., or one or moreservers, alone or as part of a datacenter. The computer system caninclude a network adapter/interface 1026, and an input/output (I/O)interface(s) 1022. The I/O interface 1022 allows for input and output ofdata with an external device 1074 that may be connected to the computersystem. The network adapter/interface 1026 may provide communicationsbetween the computer system a network generically shown as thecommunications network 1200.

The computer 1010 may be described in the general context of computersystem-executable instructions, such as program modules, being executedby a computer system. Generally, program modules may include routines,programs, objects, components, logic, data structures, and so on thatperform particular tasks or implement particular abstract data types.The method steps and system components and techniques may be embodied inmodules of the program 1060 for performing the tasks of each of thesteps of the method and system. The modules are generically representedin FIG. 3 as program modules 1064. The program 1060 and program modules1064 can execute specific steps, routines, sub-routines, instructions orcode, of the program.

The method of the present disclosure can be run locally on a device suchas a mobile device, or can be run a service, for instance, on the server1100 which may be remote and can be accessed using the communicationsnetwork 1200. The program or executable instructions may also be offeredas a service by a provider. The computer 1010 may be practiced in adistributed cloud computing environment where tasks are performed byremote processing devices that are linked through a communicationsnetwork 1200. In a distributed cloud computing environment, programmodules may be located in both local and remote computer system storagemedia including memory storage devices.

More specifically, as shown in FIG. 3, the system 1000 includes thecomputer system 1010 shown in the form of a general-purpose computingdevice with illustrative periphery devices. The components of thecomputer system 1010 may include, but are not limited to, one or moreprocessors or processing units 1020, a system memory 1030, and a bus1014 that couples various system components including system memory 1030to processor 1020.

The bus 1014 represents one or more of any of several types of busstructures, including a memory bus or memory controller, a peripheralbus, an accelerated graphics port, and a processor or local bus usingany of a variety of bus architectures. By way of example, and notlimitation, such architectures include Industry Standard Architecture(ISA) bus, Micro Channel Architecture (MCA) bus, Enhanced ISA (EISA)bus, Video Electronics Standards Association (VESA) local bus, andPeripheral Component Interconnects (PCI) bus.

The computer 1010 can include a variety of computer readable media. Suchmedia may be any available media that is accessible by the computer 1010(e.g., computer system, or server), and can include both volatile andnon-volatile media, as well as, removable and non-removable media.Computer memory 1030 can include additional computer readable media 1034in the form of volatile memory, such as random access memory (RAM),and/or cache memory 1038. The computer 1010 may further include otherremovable/non-removable, volatile/non-volatile computer storage media,in one example, portable computer readable storage media 1072. In oneembodiment, the computer readable storage medium 1050 can be providedfor reading from and writing to a non-removable, non-volatile magneticmedia. The computer readable storage medium 1050 can be embodied, forexample, as a hard drive. Additional memory and data storage can beprovided, for example, as the storage system 1110 (e.g., a database) forstoring data 1114 and communicating with the processing unit 1020. Thedatabase can be stored on or be part of a server 1100. Although notshown, a magnetic disk drive for reading from and writing to aremovable, non-volatile magnetic disk (e.g., a “floppy disk”), and anoptical disk drive for reading from or writing to a removable,non-volatile optical disk such as a CD-ROM, DVD-ROM or other opticalmedia can be provided. In such instances, each can be connected to bus1014 by one or more data media interfaces. As will be further depictedand described below, memory 1030 may include at least one programproduct which can include one or more program modules that areconfigured to carry out the functions of embodiments of the presentinvention. As such, the computing device in FIG. 4 becomes specificallyconfigured to implement mechanisms of the illustrative embodiments andspecifically configured to perform the operations and generated theoutputs of described herein for determining a route based on a user'spreferred environmental experiences.

The method 200 (FIG. 2), for example, may be embodied in one or morecomputer programs, generically referred to as a program(s) 1060 and canbe stored in memory 1030 in the computer readable storage medium 1050.The program 1060 can include program modules 1064. The program modules1064 can generally carry out functions and/or methodologies ofembodiments of the invention as described herein. For example, theprogram modules 1064 can include the modules 140-146 described abovewith reference to FIG. 1b . The one or more programs 1060 are stored inmemory 1030 and are executable by the processing unit 1020. By way ofexample, the memory 1030 may store an operating system 1052, one or moreapplication programs 1054, other program modules, and program data onthe computer readable storage medium 1050. It is understood that theprogram 1060, and the operating system 1052 and the applicationprogram(s) 1054 stored on the computer readable storage medium 1050 aresimilarly executable by the processing unit 1020.

The computer 1010 may also communicate with one or more external devices1074 such as a keyboard, a pointing device, a display 1080, etc.; one ormore devices that enable a user to interact with the computer 1010;and/or any devices (e.g., network card, modem, etc.) that enables thecomputer 1010 to communicate with one or more other computing devices.Such communication can occur via the Input/Output (I/O) interfaces 1022.Still yet, the computer 1010 can communicate with one or more networks1200 such as a local area network (LAN), a general wide area network(WAN), and/or a public network (e.g., the Internet) via networkadapter/interface 1026. As depicted, network adapter 1026 communicateswith the other components of the computer 1010 via bus 1014. It shouldbe understood that although not shown, other hardware and/or softwarecomponents could be used in conjunction with the computer 1010.Examples, include, but are not limited to: microcode, device drivers1024, redundant processing units, external disk drive arrays, RAIDsystems, tape drives, and data archival storage systems, etc.

It is understood that a computer or a program running on the computer1010 may communicate with a server, embodied as the server 1100, via oneor more communications networks, embodied as the communications network1200. The communications network 1200 may include transmission media andnetwork links which include, for example, wireless, wired, or opticalfiber, and routers, firewalls, switches, and gateway computers. Thecommunications network may include connections, such as wire, wirelesscommunication links, or fiber optic cables. A communications network mayrepresent a worldwide collection of networks and gateways, such as theInternet, that use various protocols to communicate with one another,such as Lightweight Directory Access Protocol (LDAP), Transport ControlProtocol/Internet Protocol (TCP/IP), Hypertext Transport Protocol(HTTP), Wireless Application Protocol (WAP), etc. A network may alsoinclude a number of different types of networks, such as, for example,an intranet, a local area network (LAN), or a wide area network (WAN).

In one example, a computer can use a network which may access a websiteon the Web (World Wide Web) using the Internet. In one embodiment, acomputer 1010, including a mobile device, can use a communicationssystem or network 1200 which can include the Internet, or a publicswitched telephone network (PSTN) for example, a cellular network. ThePSTN may include telephone lines, fiber optic cables, microwavetransmission links, cellular networks, and communications satellites.The Internet may facilitate numerous searching and texting techniques,for example, using a cell phone or laptop computer to send queries tosearch engines via text messages (SMS), Multimedia Messaging Service(MMS) (related to SMS), email, or a web browser. The search engine canretrieve search results, that is, links to websites, documents, or otherdownloadable data that correspond to the query, and similarly, providethe search results to the user via the device as, for example, a webpage of search results.

It is to be understood that although this disclosure includes a detaileddescription on cloud computing, implementation of the teachings recitedherein are not limited to a cloud computing environment. Rather,embodiments of the present invention are capable of being implemented inconjunction with any other type of computing environment now known orlater developed.

Cloud computing is a model of service delivery for enabling convenient,on-demand network access to a shared pool of configurable computingresources (e.g., networks, network bandwidth, servers, processing,memory, storage, applications, virtual machines, and services) that canbe rapidly provisioned and released with minimal management effort orinteraction with a provider of the service. This cloud model may includeat least five characteristics, at least three service models, and atleast four deployment models.

Characteristics are as follows:

On-demand self-service: a cloud consumer can unilaterally provisioncomputing capabilities, such as server time and network storage, asneeded automatically without requiring human interaction with theservice's provider.

Broad network access: capabilities are available over a network andaccessed through standard mechanisms that promote use by heterogeneousthin or thick client platforms (e.g., mobile phones, laptops, and PDAs).

Resource pooling: the provider's computing resources are pooled to servemultiple consumers using a multi-tenant model, with different physicaland virtual resources dynamically assigned and reassigned according todemand. There is a sense of location independence in that the consumergenerally has no control or knowledge over the exact location of theprovided resources but may be able to specify location at a higher levelof abstraction (e.g., country, state, or datacenter).

Rapid elasticity: capabilities can be rapidly and elasticallyprovisioned, in some cases automatically, to quickly scale out andrapidly released to quickly scale in. To the consumer, the capabilitiesavailable for provisioning often appear to be unlimited and can bepurchased in any quantity at any time.

Measured service: cloud systems automatically control and optimizeresource use by leveraging a metering capability at some level ofabstraction appropriate to the type of service (e.g., storage,processing, bandwidth, and active user accounts). Resource usage can bemonitored, controlled, and reported, providing transparency for both theprovider and consumer of the utilized service.

Service Models are as follows:

Software as a Service (SaaS): the capability provided to the consumer isto use the provider's applications running on a cloud infrastructure.The applications are accessible from various client devices through athin client interface such as a web browser (e.g., web-based email). Theconsumer does not manage or control the underlying cloud infrastructureincluding network, servers, operating systems, storage, or evenindividual application capabilities, with the possible exception oflimited user-specific application configuration settings.

Platform as a Service (PaaS): the capability provided to the consumer isto deploy onto the cloud infrastructure consumer-created or acquiredapplications created using programming languages and tools supported bythe provider. The consumer does not manage or control the underlyingcloud infrastructure including networks, servers, operating systems, orstorage, but has control over the deployed applications and possiblyapplication hosting environment configurations.

Infrastructure as a Service (IaaS): the capability provided to theconsumer is to provision processing, storage, networks, and otherfundamental computing resources where the consumer is able to deploy andrun arbitrary software, which can include operating systems andapplications. The consumer does not manage or control the underlyingcloud infrastructure but has control over operating systems, storage,deployed applications, and possibly limited control of select networkingcomponents (e.g., host firewalls).

Deployment Models are as follows:

Private cloud: the cloud infrastructure is operated solely for anorganization. It may be managed by the organization or a third party andmay exist on-premises or off-premises.

Community cloud: the cloud infrastructure is shared by severalorganizations and supports a specific community that has shared concerns(e.g., mission, security requirements, policy, and complianceconsiderations). It may be managed by the organizations or a third partyand may exist on-premises or off-premises.

Public cloud: the cloud infrastructure is made available to the generalpublic or a large industry group and is owned by an organization sellingcloud services.

Hybrid cloud: the cloud infrastructure is a composition of two or moreclouds (private, community, or public) that remain unique entities butare bound together by standardized or proprietary technology thatenables data and application portability (e.g., cloud bursting forload-balancing between clouds).

A cloud computing environment is service oriented with a focus onstatelessness, low coupling, modularity, and semantic interoperability.At the heart of cloud computing is an infrastructure that includes anetwork of interconnected nodes.

Referring now to FIG. 4, illustrative cloud computing environment 50 isdepicted. As shown, cloud computing environment 50 includes one or morecloud computing nodes 10 with which local computing devices used bycloud consumers, such as, for example, personal digital assistant (PDA)or cellular telephone 54A, desktop computer 54B, laptop computer 54C,and/or automobile computer system 54N may communicate. Nodes 10 maycommunicate with one another. They may be grouped (not shown) physicallyor virtually, in one or more networks, such as Private, Community,Public, or Hybrid clouds as described hereinabove, or a combinationthereof. This allows cloud computing environment 50 to offerinfrastructure, platforms and/or software as services for which a cloudconsumer does not need to maintain resources on a local computingdevice. It is understood that the types of computing devices 54A-N shownin FIG. 4 are intended to be illustrative only and that computing nodes10 and cloud computing environment 50 can communicate with any type ofcomputerized device over any type of network and/or network addressableconnection (e.g., using a web browser).

Referring now to FIG. 5, a set of functional abstraction layers providedby cloud computing environment 50 (FIG. 4) is shown. It should beunderstood in advance that the components, layers, and functions shownin FIG. 5 are intended to be illustrative only and embodiments of theinvention are not limited thereto. As depicted, the following layers andcorresponding functions are provided:

Hardware and software layer 60 includes hardware and softwarecomponents. Examples of hardware components include: mainframes 61; RISC(Reduced Instruction Set Computer) architecture based servers 62;servers 63; blade servers 64; storage devices 65; and networks andnetworking components 66. In some embodiments, software componentsinclude network application server software 67 and database software 68.

Virtualization layer 70 provides an abstraction layer from which thefollowing examples of virtual entities may be provided: virtual servers71; virtual storage 72; virtual networks 73, including virtual privatenetworks; virtual applications and operating systems 74; and virtualclients 75.

In one example, management layer 80 may provide the functions describedbelow. Resource provisioning 81 provides dynamic procurement ofcomputing resources and other resources that are utilized to performtasks within the cloud computing environment. Metering and Pricing 82provide cost tracking as resources are utilized within the cloudcomputing environment, and billing or invoicing for consumption of theseresources. In one example, these resources may include applicationsoftware licenses. Security provides identity verification for cloudconsumers and tasks, as well as protection for data and other resources.User portal 83 provides access to the cloud computing environment forconsumers and system administrators. Service level management 84provides cloud computing resource allocation and management such thatrequired service levels are met. Service Level Agreement (SLA) planningand fulfillment 85 provide pre-arrangement for, and procurement of,cloud computing resources for which a future requirement is anticipatedin accordance with an SLA.

Workloads layer 90 provides examples of functionality for which thecloud computing environment may be utilized. Examples of workloads andfunctions which may be provided from this layer include: mapping andnavigation 91; software development and lifecycle management 92; virtualclassroom education delivery 93; data analytics processing 94;transaction processing 95; and video editing 96.

The programs described herein are identified based upon the applicationfor which they are implemented in a specific embodiment of theinvention. However, it should be appreciated that any particular programnomenclature herein is used merely for convenience, and thus theinvention should not be limited to use solely in any specificapplication identified and/or implied by such nomenclature.

The present invention may be a system, a method, and/or a computerprogram product at any possible technical detail level of integration.The computer program product may include a computer readable storagemedium (or media) having computer readable program instructions thereonfor causing a processor to carry out aspects of the present invention.

The computer readable storage medium can be a tangible device that canretain and store instructions for use by an instruction executiondevice. The computer readable storage medium may be, for example, but isnot limited to, an electronic storage device, a magnetic storage device,an optical storage device, an electromagnetic storage device, asemiconductor storage device, or any suitable combination of theforegoing. A non-exhaustive list of more specific examples of thecomputer readable storage medium includes the following: a portablecomputer diskette, a hard disk, a random access memory (RAM), aread-only memory (ROM), an erasable programmable read-only memory (EPROMor Flash memory), a static random access memory (SRAM), a portablecompact disc read-only memory (CD-ROM), a digital versatile disk (DVD),a memory stick, a floppy disk, a mechanically encoded device such aspunch-cards or raised structures in a groove having instructionsrecorded thereon, and any suitable combination of the foregoing. Acomputer readable storage medium, as used herein, is not to be construedas being transitory signals per se, such as radio waves or other freelypropagating electromagnetic waves, electromagnetic waves propagatingthrough a waveguide or other transmission media (e.g., light pulsespassing through a fiber-optic cable), or electrical signals transmittedthrough a wire.

Computer readable program instructions described herein can bedownloaded to respective computing/processing devices from a computerreadable storage medium or to an external computer or external storagedevice via a network, for example, the Internet, a local area network, awide area network and/or a wireless network. The network may comprisecopper transmission cables, optical transmission fibers, wirelesstransmission, routers, firewalls, switches, gateway computers and/oredge servers. A network adapter card or network interface in eachcomputing/processing device receives computer readable programinstructions from the network and forwards the computer readable programinstructions for storage in a computer readable storage medium withinthe respective computing/processing device.

Computer readable program instructions for carrying out operations ofthe present invention may be assembler instructions,instruction-set-architecture (ISA) instructions, machine instructions,machine dependent instructions, microcode, firmware instructions,state-setting data, configuration data for integrated circuitry, oreither source code or object code written in any combination of one ormore programming languages, including an object oriented programminglanguage such as Smalltalk, C++, or the like, and procedural programminglanguages, such as the “C” programming language or similar programminglanguages. The computer readable program instructions may executeentirely on the user's computer, partly on the user's computer, as astand-alone software package, partly on the user's computer and partlyon a remote computer or entirely on the remote computer or server. Inthe latter scenario, the remote computer may be connected to the user'scomputer through any type of network, including a local area network(LAN) or a wide area network (WAN), or the connection may be made to anexternal computer (for example, through the Internet using an InternetService Provider). In some embodiments, electronic circuitry including,for example, programmable logic circuitry, field-programmable gatearrays (FPGA), or programmable logic arrays (PLA) may execute thecomputer readable program instructions by utilizing state information ofthe computer readable program instructions to personalize the electroniccircuitry, in order to perform aspects of the present invention.

Aspects of the present invention are described herein with reference toflowchart illustrations and/or block diagrams of methods, apparatus(systems), and computer program products according to embodiments of theinvention. It will be understood that each block of the flowchartillustrations and/or block diagrams, and combinations of blocks in theflowchart illustrations and/or block diagrams, can be implemented bycomputer readable program instructions.

These computer readable program instructions may be provided to aprocessor of a general purpose computer, special purpose computer, orother programmable data processing apparatus to produce a machine, suchthat the instructions, which execute via the processor of the computeror other programmable data processing apparatus, create means forimplementing the functions/acts specified in the flowchart and/or blockdiagram block or blocks. These computer readable program instructionsmay also be stored in a computer readable storage medium that can directa computer, a programmable data processing apparatus, and/or otherdevices to function in a particular manner, such that the computerreadable storage medium having instructions stored therein comprises anarticle of manufacture including instructions which implement aspects ofthe function/act specified in the flowchart and/or block diagram blockor blocks.

The computer readable program instructions may also be loaded onto acomputer, other programmable data processing apparatus, or other deviceto cause a series of operational steps to be performed on the computer,other programmable apparatus or other device to produce a computerimplemented process, such that the instructions which execute on thecomputer, other programmable apparatus, or other device implement thefunctions/acts specified in the flowchart and/or block diagram block orblocks.

The flowchart and block diagrams in the Figures illustrate thearchitecture, functionality, and operation of possible implementationsof systems, methods, and computer program products according to variousembodiments of the present invention. In this regard, each block in theflowchart or block diagrams may represent a module, segment, or portionof instructions, which comprises one or more executable instructions forimplementing the specified logical function(s). In some alternativeimplementations, the functions noted in the blocks may occur out of theorder noted in the Figures. For example, two blocks shown in successionmay, in fact, be executed substantially concurrently, or the blocks maysometimes be executed in the reverse order, depending upon thefunctionality involved. It will also be noted that each block of theblock diagrams and/or flowchart illustration, and combinations of blocksin the block diagrams and/or flowchart illustration, can be implementedby special purpose hardware-based systems that perform the specifiedfunctions or acts or carry out combinations of special purpose hardwareand computer instructions.

While steps of the disclosed method and components of the disclosedsystems and environments have been sequentially or serially identifiedusing numbers and letters, such numbering or lettering is not anindication that such steps must be performed in the order recited, andis merely provided to facilitate clear referencing of the method'ssteps. Furthermore, steps of the method may be performed in parallel toperform their described functionality.

What is claimed is:
 1. A computer program product for video editing, thecomputer program product comprising: a computer-readable storage mediumhaving program instructions embodied therewith, wherein the computerreadable storage medium is not a transitory signal per se, the programinstructions comprising: program instructions to receive, by a computingdevice, video data from an imaging device, wherein the video dataincludes visual and audio data; program instructions to convert, by thecomputing device, the audio data to text; program instructions to parse,by the computing device, the text into textual segments; programinstructions to annotate, by the computing device, the textual segmentswith time stamps; program instructions to analyze, by the computingdevice, the annotated textual segments to identify pre-determined editcommands using a Levenshtein distance metric; and program instructionsto generate, by the computing device, an edit script based on theidentified pre-determined edit commands in the textual segments.
 2. Acomputer program product as in claim 1, further comprising: programinstructions to analyze, by the computing device, the edited video fileto identify dead time created by the editing of the video data; andprogram instructions to edit, by the computing device, the identifieddead time out of the edited video file.
 3. A computer program product asin claim 1, further comprising: program instructions to generate, by thecomputing device, an edited video file by editing the video file basedon the generated edit script.
 4. A computer program product as in claim1, wherein the audio data includes natural language editing commandsspoken by a user at a time of creation of the video data.
 5. A computerprogram product as in claim 1, wherein the pre-determined edit commandsare designated by a pre-determined phrase.
 6. A computer program productas in claim 1, wherein the pre-determined edit commands include a timeparameter.
 7. A computer system for video editing, the systemcomprising: one or more computer processors, one or morecomputer-readable storage media, and program instructions stored on oneor more of the computer-readable storage media for execution by at leastone of the one or more processors, the program instructions comprising:program instructions to receive, by a computing device, video data froman imaging device, wherein the video data includes visual and audiodata; program instructions to convert, by the computing device, theaudio data to text; program instructions to parse, by the computingdevice, the text into textual segments; program instructions toannotate, by the computing device, the textual segments with timestamps; program instructions to analyze, by the computing device, theannotated textual segments to identify pre-determined edit commandsusing a Levenshtein distance metric; and program instructions togenerate, by the computing device, an edit script based on theidentified pre-determined edit commands in the textual segments.
 8. Acomputer system as in claim 7, further comprising: program instructionsto analyze, by the computing device, the edited video file to identifydead time created by the editing of the video data; and programinstructions to edit, by the computing device, the identified dead timeout of the edited video file.
 9. A computer system as in claim 7,further comprising: program instructions to generate, by the computingdevice, an edited video file by editing the video file based on thegenerated edit script.
 10. A computer system as in claim 7, wherein theaudio data includes natural language editing commands spoken by a userat a time of creation of the video data.
 11. A computer system as inclaim 7, wherein the pre-determined edit commands are designated by apre-determined phrase.
 12. A computer system as in claim 11, wherein thepre-determined edit commands include a time parameter.